Workflow fail summary - artifact creation (#28737)

* Update recent_fail_summary.yaml

* Update recent_fail_summary.yaml

* Update recent_fail_summary.yaml

* Update recent_fail_summary.yaml

* Update summarize_fail.py

* Update summarize_fail.py

* Update summarize_fail.py

* Update summarize_fail.py

* Update summarize_fail.py

* Update recent_fail_summary.yaml

* Update summarize_fail.py

* Update summarize_fail.py

* Update summarize_fail.py

Author: kliao-csa

.github/workflows/recent_fail_summary.yaml

@@ -30,10 +30,18 @@ jobs:
         uses: actions/checkout@v3
       - name: Setup
         run: |
-          gh run list -b master -s failure --json displayTitle,workflowName > runlist.json
+          gh run list -R project-chip/connectedhomeip -b master -s failure --json displayTitle,workflowName > run_list.json
           pip install pandas
         env:
           GH_TOKEN: ${{ github.token }}
       - name: Run Summarization Script
         run: python scripts/tools/summarize_fail.py
+      - name: Upload Logs
+        uses: actions/upload-artifact@v3
+        with:
+          name: workflow-fail-summary
+          path: |
+            recent_fails.csv
+            recent_fails_frequency.csv
+          retention-days: 5
 

scripts/tools/summarize_fail.py

@@ -1,7 +1,12 @@
 import pandas as pd
 
-df = pd.read_json("runlist.json")
+df = pd.read_json("run_list.json")
+df.columns = ["Pull Request", "Workflow"]
 print("Recent Failures:")
-print(df)
+print(df.to_string(index=False))
+df.to_csv("recent_fails.csv", index=False)
+print()
 print("Percentage Frequency:")
-print(df["workflowName"].value_counts(normalize=True) * 100)
+frequency = df["Workflow"].value_counts(normalize=True).mul(100).astype(str) + "%"
+print(frequency.to_string())
+frequency.to_csv("recent_fails_frequency.csv")